MeLOn
- a -
activation_function :
example_training_of_ANN
,
example_training_of_ANN_with_pruning
activation_function_out :
example_training_of_ANN
,
example_training_of_ANN_with_pruning
- b -
batch_size :
example_training_of_ANN
,
example_training_of_ANN_with_pruning
begin_step :
example_training_of_ANN_with_pruning
- d -
data :
example_training_of_ANN
,
example_training_of_ANN_with_pruning
- e -
end_step :
example_training_of_ANN_with_pruning
epochs :
example_training_of_ANN
,
example_training_of_ANN_with_pruning
- f -
filename_data :
example_training_of_ANN
,
example_training_of_ANN_with_pruning
filename_out :
example_training_of_ANN
,
example_training_of_ANN_with_pruning
final_sparsity :
example_training_of_ANN_with_pruning
frequency :
example_training_of_ANN_with_pruning
- h -
history :
example_training_of_ANN
,
example_training_of_ANN_with_pruning
- i -
initial_sparsity :
example_training_of_ANN_with_pruning
input_dim :
example_training_of_ANN
,
example_training_of_ANN_with_pruning
- k -
kernel_initializer :
example_training_of_ANN
,
example_training_of_ANN_with_pruning
kernel_regularizer :
example_training_of_ANN
,
example_training_of_ANN_with_pruning
- l -
learning_rate :
example_training_of_ANN
,
example_training_of_ANN_with_pruning
loss :
example_training_of_ANN
,
example_training_of_ANN_with_pruning
- m -
metrics :
example_training_of_ANN
,
example_training_of_ANN_with_pruning
model :
example_training_of_ANN
- n -
n_train :
example_training_of_ANN
,
example_training_of_ANN_with_pruning
network_layout :
example_training_of_ANN
,
example_training_of_ANN_with_pruning
normalizeOutput :
example_training_of_ANN
,
example_training_of_ANN_with_pruning
- o -
optimizer :
example_training_of_ANN
,
example_training_of_ANN_with_pruning
output_dim :
example_training_of_ANN
,
example_training_of_ANN_with_pruning
output_folder :
example_training_of_ANN
,
example_training_of_ANN_with_pruning
- p -
problem_name :
example_training_of_ANN
,
example_training_of_ANN_with_pruning
pruned_model :
example_training_of_ANN_with_pruning
pruning_params :
example_training_of_ANN_with_pruning
- r -
random_state :
example_training_of_ANN
,
example_training_of_ANN_with_pruning
- s -
scaleInput :
example_training_of_ANN
,
example_training_of_ANN_with_pruning
stripped_model :
example_training_of_ANN_with_pruning
- t -
test_size :
example_training_of_ANN
,
example_training_of_ANN_with_pruning
training_time :
example_training_of_ANN
,
example_training_of_ANN_with_pruning
- x -
X :
example_training_of_ANN
,
example_training_of_ANN_with_pruning
X_norm :
example_training_of_ANN
,
example_training_of_ANN_with_pruning
x_train :
example_training_of_ANN
,
example_training_of_ANN_with_pruning
x_val :
example_training_of_ANN
,
example_training_of_ANN_with_pruning
- y -
y :
example_training_of_ANN
,
example_training_of_ANN_with_pruning
y_norm :
example_training_of_ANN
,
example_training_of_ANN_with_pruning
y_pred :
example_training_of_ANN
,
example_training_of_ANN_with_pruning
y_train :
example_training_of_ANN
,
example_training_of_ANN_with_pruning
y_val :
example_training_of_ANN
,
example_training_of_ANN_with_pruning
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